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xiaohongshu-mcp

Automate Xiaohongshu note publishing, search, and feed management via a local MCP server.

1|Updated Mar 12, 2026
Search Tags:#automation#python#client-server#social-media#xiaohongshu#content-publishing
One-click install
npx skills add https://github.com/joneqian/EvoClaw --skill xiaohongshu-mcp-joneqian
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xiaohongshu-mcp
Source: https://github.com/joneqian/EvoClaw/tree/main/packages/core/src/skill/bundled/xiaohongshu-mcp
Command: npx skills add https://github.com/joneqian/EvoClaw --skill xiaohongshu-mcp-joneqian

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Xiaohongshu content operations can be manual, time-consuming, and error-prone. This Skill automates these tasks using a bundled Python client to interact with a local Xiaohongshu MCP server, enabling repeatable content publishing, search, analysis, and feed management.

Core Features & Use Cases

  • Automated publishing: Publish notes to the Xiaohongshu MCP server from scripts.
  • Search & analysis: Retrieve notes and trends; fetch details and comments for insights.
  • Feeds management: Access recommended feeds and manage user content flows for market research.
  • Local server workflow: Requires a running server and one-time login to establish a session.

Quick Start

Launch the local MCP server, ensure you are logged in via the login tool, then run the Python client to publish, search, or fetch feeds.

Frequently Asked Questions about xiaohongshu-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Xiaohongshu content publishing and search locally?▼

Automate Xiaohongshu content publishing and search locally by running a local MCP server and using a bundled Python client to execute commands for notes, trends, and feeds. You need a one-time QR login to establish a session.

Can I manage Xiaohongshu feeds and analyze post comments using a Python client?▼

Yes, you can manage Xiaohongshu feeds and analyze post comments using the Python client, which exposes status, search, detail, feeds, and publish commands to retrieve insights and control content flows.

What is required to start automating Xiaohongshu operations with a local server?▼

Automating Xiaohongshu operations with a local server requires launching the server and completing an initial QR login authorization to establish a session before running the Python client scripts.

Does the Xiaohongshu automation client support retrieving post details and market trends?▼

Yes, the Xiaohongshu automation client supports retrieving post details and market trends by executing search and detail commands against the local MCP server for content analysis and market research.

Are there limitations when using a local MCP server for Xiaohongshu content ops?▼

Local MCP server limitations for Xiaohongshu content ops include requiring an active local server instance and a valid session established via QR login before any publishing, search, or feeds management scripts can execute.

What is the best way to handle Xiaohongshu content operations without manual errors?▼

The best way to handle Xiaohongshu content operations without manual errors is using an automated Python client to interact with a local MCP server, enabling repeatable publishing, search, analysis, and feed management workflows.

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